Learn Python basics like variables, data types, and operations. Ideal for beginners to build coding skills with real-world case studies in this hands-on course.
Learn Python basics like variables, data types, and operations. Ideal for beginners to build coding skills with real-world case studies in this hands-on course.
This beginner-friendly Python course provides a solid foundation in essential programming concepts for absolute beginners. You'll start by learning the fundamentals of Python, including how to work with variables and different data types to store and process information. The course covers key operations for performing calculations, making comparisons, and manipulating text through strings. Through practical, hands-on case studies like creating a checkout system, splitting tips, and calculating compound interest, you'll apply your new skills to solve real-world problems. The interactive approach uses Jupyter Notebooks to help you gain confidence as you code. By the end of this course, you'll have developed practical Python programming skills and be ready to tackle more advanced concepts. This course is perfect for anyone looking to begin their programming journey with no prior experience required.
Instructors:
English
Not specified
What you'll learn
Learn to use Python's print() and input() functions for basic program interaction
Master variable declaration and understand different data types (integers, floats, strings)
Perform arithmetic calculations and understand operator precedence
Make comparisons using relational operators and combine conditions with logical operators
Manipulate text using string operations, slicing, and built-in methods
Apply Python concepts to solve real-world problems like checkout systems and financial calculations
Skills you'll gain
This course includes:
10 Hours PreRecorded video
6 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Get a Completion Certificate
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There are 6 modules in this course
This course provides a comprehensive introduction to Python programming for absolute beginners. Through six carefully structured modules, students progress from understanding the basics of Python to applying their knowledge in practical scenarios. The curriculum starts with an introduction to Python and its environment, then covers essential concepts including input/output operations, variables, data types, various operations (arithmetic, relational, and logical), and string manipulation. The final module focuses on real-world applications through case studies that reinforce all previously learned concepts. The course emphasizes hands-on learning through interactive labs and practical exercises, making it ideal for those with no prior programming experience who want to build a solid foundation in Python.
Introduction
Module 1 · 2 Hours to complete
Input and Output
Module 2 · 2 Hours to complete
Variables and Data Types
Module 3 · 2 Hours to complete
Operations
Module 4 · 2 Hours to complete
Strings
Module 5 · 2 Hours to complete
Essential Python Case Studies
Module 6 · 1 Hours to complete
Fee Structure
Instructor
Teaching Assistant Professor
Dr. Di Wu is a Teaching Assistant Professor at the University of Colorado Boulder, specializing in data science and computer science. His primary research interests include temporal databases, the semantic web, knowledge representation, and data science, with a focus on extending the Resource Description Framework (RDF) for temporal dimensions. Before joining CU Boulder, he taught various courses such as algorithms and data structures, programming languages, and database management. Dr. Wu aims to develop an inclusive and engaging pedagogy in data science education over the next five years, emphasizing experiential learning in both in-person and online formats. He is involved in teaching courses related to data science and programming, including specializations in Python programming for data scientists.
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Frequently asked questions
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